Galileo for Academic Research

Galileo delivers easily accessible computing power to streamline academic research. Built-in organizational productivity tools are tailored to the unique needs of academic labs, across fields and subject areas.

Max Efficiency, Easy to Run
Galileo enables researchers to effectively leverage computing power, share resources, and streamline computing intensive workflows.
Quick & easy access to secure
computing power

On-demand, easy access to HPC, cloud, and machines you control

Easy-to-use, drag-and-drop interface; no engineering experience needed

Free up your local machine. Run computationally-intensive projects elsewhere

Automate iterative parallel computations (such as Monte Carlo simulations)

Get results faster,
keep your work organized

Free yourself from deployment setup, pipeline monitoring, and delays.

Fast deployment of workloads to on-demand machines and parallel runs

Easily share computational resources with collaborators or acrossa team

Never misplace results again with Galileo’s searchable historical databases

Graduate students and research teams
across fields and disciplines are using
Galileo:

Pharmaceutical researchers working on COVID-19

Fast deployment of workloads to on-demand machines and parallel runs

Material scientists building the world’s most efficient batteries

TURN YOUR LAB INTO A CLUSTER
Leverage the combined resources of your team of collaborators by connecting your machines to create a group computing station in 5 easy steps:
1
Install Landing Zone
Ease of install to leverage your existing infrastructure with only one command.
2
Create Station
Add your landing zones to a station to group resources.
3
Invite Students to Your Station
Easily share resources with collaborators or across a team. Team leads can quickly share and track project input and results files.
4
Control Resources
Set fine-grained permissioned access rules and usage quotas. Avoid setup complications, pipeline monitoring, and delays.
5
Create Missions and Deploy to Station
Access machines, projects, data, results, and version history in one central location.

SIDEREVS NVNCIVS

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